Search inside publication
Mixing social media analysis and physical models to monitor invasive species
Invasive species, such as jellyfish, cause economic losses in millions annually. Therefore, being able to accurately monitor and predict jellyfish is vital to several stakeholders (e.g. tourism, fishery, government). A potential tool to help these communities could be by combining a biophysical drift model with a processing chain for soft information fusion which would predict jellyfish occurrences. To guarantee accuracy, the model needs to be validated by actual data. This data can be gathered from citizens who reported jellyfish sightings on social media or a dedicated citizen science mobile app. As the information provided by citizens is spread among numerous atomic reports, we use a platform for soft information fusion to aggregate and fuse these reports into a single information network. The soft information fusion platform relies on the use of domain knowledge, provided through an ontology. The information network can then be queried to extract relevant features to validate the jellyfish drift model. Future work includes the initialisation of the model with soft information, as well as making use of the different levels of quality of the reports provided by citizens, in order to assess the quality of the fused information.
Fusion 2020 - 23rd International conference on information fusion : virtual conference (July 6-9, 2020)
Proceedings of the 22nd IAHR-APD Congress : creating resilience to water-related challenges (Sapporo / online, September 15-16, 2020)
Umgang mit hohen Grundwasserständen
Der Umgang mit hohen Grundwasserständen gewinnt im Zusammenhang mit dem Klimawandel und dem Kohleausstieg immer mehr an Bedeutung. Eine Fachinformation des BWK (Bund der Ingenieure für Wasserwirtschaft, Abfallwirtschaft und Kulturbau e.V.) unterstützt Behörden und Planer bei Ihrer Arbeit. Die Fachinformationen werden vorgestellt. Anschließend werden zwei ausgewählte Themen aus den Fachinformationen behandelt: das Vorgehen der Stadtentwässerungsbetriebe Köln, AöR (StEB Köln) in der Bauleitplanung bei der Gefährdung durch Hochwasser und die Informationsquellen und Informationsweitergabe.
Coastal engineers embrace nature : characterizing the metamorphosis in hydraulic engineering in terms of four continua
Hydraulic engineering infrastructures, such as reservoirs, dikes, breakwaters, and inlet closures, have significantly impacted ecosystem functioning over the last two centuries. Currently, nature-based solutions are receiving increasing attention in hydraulic engineering projects and research programs. However, there is a lack of reflection on the concomitant, fundamental changes occurring in the field of hydraulic engineering, and coastal engineering in particular, and what this could mean for sustainability. In this article, we signal the shift from conventional to ecosystem-based hydraulic engineering design and characterize this in terms of four continua: (i) the degree of inclusion of ecological knowledge, (ii) the extent to which the full infrastructural lifecycle is addressed, (iii) the complexity of the actor arena taken into account, and (iv) the resulting form of the infrastructural artefact. We support our arguments with two carefully selected, iconic examples from the Netherlands and indicate how the stretching ideals of ecosystem-based engineering could engender further shifts towards sustainability.
A method of assessing user capacities for effective climate services
This article presents adaptation options for two European river basins affected by hydrological extremes developed within the IMPREX project. It illustrates how IMPREX co-produced climate services by applying participatory modelling techniques to tailor climate information to user needs. The climate services developed in the JRB and RRB demonstrate the added value of participatory approaches, enhancing the quality and relevance of the generated climate information, forging synergistic relationships between providers and users. During the process of climate service development, it became clear that the ability of users and institutions to translate and incorporate climate services into decision-making and policy planning was key to implementing and operationalizing climate services. Therefore, this article proposes an analytical approach for identifying strengths and weaknesses of users and institutions for climate service providers not only to consider during the climate service development phase, but also to offer capacity-enhancing measures as a climate service for adaptation. We argue that further research in examining methods for tailoring climate services to the capacity of users and institutions will significantly increase the uptake of climate information into decisionmaking and policy planning processes. We feel these considerations are necessary for enhancing the impact and value of climate services as mechanisms for climate change adaptation and sustainable development.
Effect of fluvial discharges and remote non-tidal residuals on compound flood forecasting in San Francisco Bay
Accurate and timely flood forecasts are critical for making emergency-response decisions regarding public safety, infrastructure operations, and resource allocation. One of the main challenges for coastal flood forecasting systems is a lack of reliable forecast data of large-scale oceanic and watershed processes and the combined effects of multiple hazards, such as compound flooding at river mouths. Offshore water level anomalies, known as remote Non-Tidal Residuals (NTRs), are caused by processes such as downwelling, offshore wind setup, and also driven by ocean-basin salinity and temperature changes, common along the west coast during El Niño events. Similarly, fluvial discharges can contribute to extreme water levels in the coastal area, while they are dominated by large-scale watershed hydraulics. However, with the recent emergence of reliable large-scale forecast systems, coastal models now import the essential input data to forecast extreme water levels in the nearshore. Accordingly, we have developed Hydro-CoSMoS, a new coastal forecast model based on the USGS Coastal Storm Modeling System (CoSMoS) powered by the Delft3D San Francisco Bay and Delta community model. In this work, we studied the role of fluvial discharges and remote NTRs on extreme water levels during a February 2019 storm by using Hydro-CoSMoS in hindcast mode. We simulated the storm with and without real-time fluvial discharge data to study their effect on coastal water levels and flooding extent, and highlight the importance of watershed forecast systems such as NOAA’s National Water Model (NWM). We also studied the effect of remote NTRs on coastal water levels in San Francisco Bay during the 2019 February storm by utilizing the data from a global ocean model (HYCOM). Our results showed that accurate forecasts of remote NTRs and fluvial discharges can play a significant role in predicting extreme water levels in San Francisco Bay. This pilot application in San Francisco Bay can serve as a basis for integrated coastal flood modeling systems in complex coastal settings worldwide.